{"id":"W4285377704","doi":"10.36227/techrxiv.12885044","title":"Link Budget Analysis for Reconfigurable Smart Surfaces in Aerial Platforms","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz University","keywords":"RSS; Computer science; Context (archaeology); Footprint; Link budget; Wireless; Channel (broadcasting); Computer network; Real-time computing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501709,0.0008562543,0.0003722968,0.0008718694,0.0003057364,0.0008862232,0.0005480706,0.0006538912,0.002676962],"category_scores_gemma":[0.002155243,0.0002276707,0.0003619268,0.0008403094,0.0004668038,0.001058384,0.0007443442,0.0004427949,0.0004230784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011666,"about_ca_system_score_gemma":0.000460703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047119,"about_ca_topic_score_gemma":0.003032685,"domain_scores_codex":[0.999657,0.0000792422,0.000008226792,0.00004652269,0.0001008763,0.000108084],"domain_scores_gemma":[0.9989511,0.0006053303,0.0001615968,0.00005527769,0.0001872844,0.00003936348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000705585,0.00002528965,0.001652091,0.00006719204,0.00002140132,0.0001841895,0.00004422691,0.9755357,0.00808563,0.007726124,0.0005040502,0.006083553],"study_design_scores_gemma":[0.00000265997,0.00003687792,0.0007549443,0.00001174037,0.000009037986,0.00004259537,0.00006652215,0.9959519,0.001603683,0.001177895,0.0003344253,0.000007710571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5349888,0.002330113,0.4282338,0.0005027946,0.00006194269,0.00007970768,0.0005806868,0.0003042767,0.03291796],"genre_scores_gemma":[0.9906867,0.0006492754,0.005661151,0.00004810402,0.00001500837,0.00004588524,0.0001916626,0.0000386729,0.002663502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0047119,"threshold_uncertainty_score":0.009368956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06229689606522533,"score_gpt":0.2742724463314422,"score_spread":0.2119755502662168,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}